rfPermute: Estimate Permutation p-Values for Random Forest Importance Metrics

Estimate significance of importance metrics for a Random Forest model by permuting the response variable. Produces null distribution of importance metrics for each predictor variable and p-value of observed. Provides summary and visualization functions for 'randomForest' results.

Version: 2.1.6
Depends: R (≥ 3.2.0), randomForest
Imports: abind, dplyr, ggplot2, grDevices, gridExtra, magrittr, parallel, plyr, reshape2, rlang, scales, stats, swfscMisc (≥ 1.1.1), tibble, tidyr, utils, viridis
Published: 2018-07-07
Author: Eric Archer [aut, cre]
Maintainer: Eric Archer <eric.archer at noaa.gov>
BugReports: https://github.com/EricArcher/rfPermute/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/EricArcher/rfPermute
NeedsCompilation: no
Materials: README
CRAN checks: rfPermute results


Reference manual: rfPermute.pdf
Package source: rfPermute_2.1.6.tar.gz
Windows binaries: r-devel: rfPermute_2.1.6.zip, r-release: rfPermute_2.1.6.zip, r-oldrel: rfPermute_2.1.6.zip
OS X binaries: r-release: rfPermute_2.1.6.tgz, r-oldrel: rfPermute_2.1.6.tgz
Old sources: rfPermute archive

Reverse dependencies:

Reverse imports: banter


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